{"id":"W4292342699","doi":"10.1145/3547115.3547195","title":"Priority-aware forward error correction for HTTP","year":2022,"lang":"en","type":"article","venue":"","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; HOL; Blocking (statistics); Error detection and correction; Tree (set theory); Computer network; Forward error correction; Operating system; Programming language; Algorithm; Decoding methods","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001246699,0.0005464876,0.0004403336,0.0009407377,0.0009420248,0.0009573847,0.001244964,0.0006605589,0.001982149],"category_scores_gemma":[0.002960642,0.0002669755,0.000251051,0.0005536737,0.0004336329,0.00137173,0.0006233004,0.00103908,0.0007058736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006943465,"about_ca_system_score_gemma":0.0009985485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0041226,"about_ca_topic_score_gemma":0.003805045,"domain_scores_codex":[0.9992631,0.00009135588,0.0000582055,0.0001340962,0.0003094555,0.000143764],"domain_scores_gemma":[0.9970418,0.0006558959,0.0001775301,0.0006722048,0.00132481,0.0001277836],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001402543,0.0008595478,0.009943747,0.0003383101,0.00009931417,0.0009182997,0.0002906209,0.02850276,0.3339422,0.01219527,0.01320981,0.5982975],"study_design_scores_gemma":[0.0001962785,0.001179067,0.00742326,0.00005692504,0.0002149985,0.001739916,0.0001168338,0.5657694,0.3901632,0.007346947,0.0256237,0.0001694663],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3265281,0.002148452,0.6318327,0.0009101518,0.001137205,0.0004777004,0.0002566792,0.02160715,0.0151019],"genre_scores_gemma":[0.9148764,0.0003458243,0.07737216,0.000266059,0.0001955816,0.00006790644,0.0002281068,0.0002409261,0.006407068],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0041226,"threshold_uncertainty_score":0.008197248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01297187345178192,"score_gpt":0.2418631380751494,"score_spread":0.2288912646233675,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}